Rui Wang

According to our database, Rui Wang authored at least 10 papers between 2018 and 2020.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2020

Fiber: A Platform for Efficient Development and Distributed Training for Reinforcement Learning and Population-Based Methods.

Jiale Zhi, Rui Wang, Jeff Clune, Kenneth O. Stanley

CoRR, 2020

Estimating Q(s,s') with Deep Deterministic Dynamics Gradients.

Ashley D. Edwards, Himanshu Sahni, Rosanne Liu, Jane Hung, Ankit Jain, Rui Wang, Adrien Ecoffet, Thomas Miconi, Charles Isbell, Jason Yosinski

Proceedings of the 37th International Conference on Machine Learning, 2020

Enhanced POET: Open-ended Reinforcement Learning through Unbounded Invention of Learning Challenges and their Solutions.

Rui Wang, Joel Lehman, Aditya Rawal, Jiale Zhi, Yulun Li, Jeffrey Clune, Kenneth O. Stanley

Proceedings of the 37th International Conference on Machine Learning, 2020

A hands-on guide to distributed computing paradigms for evolutionary computation.

Rui Wang, Jiale Zhi

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

2019

First-Order Preconditioning via Hypergradient Descent.

Ted Moskovitz, Rui Wang, Janice Lan, Sanyam Kapoor, Thomas Miconi, Jason Yosinski, Aditya Rawal

CoRR, 2019

Paired Open-Ended Trailblazer (POET): Endlessly Generating Increasingly Complex and Diverse Learning Environments and Their Solutions.

Rui Wang, Joel Lehman, Jeff Clune, Kenneth O. Stanley

CoRR, 2019

An Atari Model Zoo for Analyzing, Visualizing, and Comparing Deep Reinforcement Learning Agents.

Felipe Petroski Such, Vashisht Madhavan, Rosanne Liu, Rui Wang, Pablo Samuel Castro, Yulun Li, Jiale Zhi, Ludwig Schubert, Marc G. Bellemare, Jeff Clune, Joel Lehman

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

POET: open-ended coevolution of environments and their optimized solutions.

Rui Wang, Joel Lehman, Jeff Clune, Kenneth O. Stanley

Proceedings of the Genetic and Evolutionary Computation Conference, 2019

2018

An Atari Model Zoo for Analyzing, Visualizing, and Comparing Deep Reinforcement Learning Agents.

Felipe Petroski Such, Vashisht Madhavan, Rosanne Liu, Rui Wang, Pablo Samuel Castro, Yulun Li, Ludwig Schubert, Marc G. Bellemare, Jeff Clune, Joel Lehman

CoRR, 2018

VINE: an open source interactive data visualization tool for neuroevolution.

Rui Wang, Jeff Clune, Kenneth O. Stanley

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018